M. Tod

1.9k citations
63 papers · 1.5k · h-index 20

Impact in

Papers in

M. Tod

62 papers receiving 1.5k citations

Peers

M. Tod
Comparison fields: 5 of 99
  • Endocrine and Autonomic Systems 329
  • Physiology 610
  • Biochemistry 138
  • Pulmonary and Respiratory Medicine 445
  • Cardiology and Cardiovascular Medicine 303
Replace Hiroyuki Okumura with:
Hiroyuki Okumura Japan
Frederick G. Hamel United States
Kjell Strandberg Sweden
Jean‐Michel Mencia‐Huerta France
Yuen Yi Hon United States
John C. Rose United States
A. Ángel Canada
Alberto A. Noronha-Dutra United Kingdom
Yoshiharu Takiguchi Japan
Ru‐Jeng Teng United States
M. Tod relative to Hiroyuki Okumura Japan Hiroyuki Okumura's profile →
Citations per field
00.5×
Hiroyuki Okumura · 1×
Citations per year

Countries citing papers authored by M. Tod

Since Specialization
Citations

This map shows the geographic impact of M. Tod's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by M. Tod with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Tod more than expected).

Fields of papers citing papers by M. Tod

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. Tod. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by M. Tod. The network helps show where M. Tod may publish in the future.

Co-authors

The 25 scholars most cited alongside M. Tod, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with M. Tod Line = papers co-authored together M. Tod links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1993242
2 1996129
3 1990109
4 199891
5 200170
6 199365
7 199455
8 199549
9 198949
10 199546
11 199342
12 199340
13 198140
14 199532
15 200229
16 199225
17 199624
18 198922
19 198820
20 199219

About M. Tod

M. Tod is a scholar working on Pulmonary and Respiratory Medicine, Physiology, Endocrine and Autonomic Systems, Molecular Biology and Pharmacology, having authored 63 papers that have together received 1.5k indexed citations. Recurring topics across this work include Nitric Oxide and Endothelin Effects (18 papers), Neuroscience of respiration and sleep (16 papers), Neonatal Respiratory Health Research (15 papers), Pulmonary Hypertension Research and Treatments (12 papers), Respiratory Support and Mechanisms (11 papers), Antibiotics Pharmacokinetics and Efficacy (7 papers), Eicosanoids and Hypertension Pharmacology (6 papers) and Ion channel regulation and function (5 papers). The work is most often cited by research in Endocrine and Autonomic Systems (329 citations), Physiology (610 citations), Biochemistry (138 citations), Pulmonary and Respiratory Medicine (445 citations) and Cardiology and Cardiovascular Medicine (303 citations). M. Tod has collaborated with scholars based in United States, France and Canada. Frequent co-authors include Lewis J. Rubin, M. P. Blaustein, X. J. Yuan, Olivier Petitjean, W. F. Goldman, Xinyu Yuan, S. Cassin, Xiaojing Yuan, J. B. Gordon and Patrick Nicolas. Their work appears in journals such as Journal of Applied Physiology, Antimicrobial Agents and Chemotherapy, Pediatric Research, American Journal of Physiology-Heart and Circulatory Physiology and Biopharmaceutics & Drug Disposition.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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